The application of adaptive algorithm and wavelet transform in the filtering of ECG signal / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 977-980, 2006.
Artigo
em Chinês
| WPRIM
| ID: wpr-320439
ABSTRACT
Electrocardiographic (ECG) signal are a kind of basic physiological signals of human body, and are very important in clinical diagnosis. But the ECG signals from body surface are often interfered by noises such as 50 Hz noise, baseline displacemant, electromyography (EMG) noise and edv. These noises bring obstacle to the diagnosis of cardiovascular diseases. To eliminate the ECG signals noises mentioned above,this paper adopts LMS adaptive algorithm and wavelet transform theory to design three kinds of digital adaptive filters-adaptive noise cancellation filter, wavelet transform filter and adaptive signal dividing filter to filter the corresponding noises. The results show that the three kinds of noises existing in the ECG signal have been efficiently eliminated.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Fatores de Tempo
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Processos Estocásticos
/
Eletrocardiografia
/
Análise de Fourier
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2006
Tipo de documento:
Artigo
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